Following is a portion of the regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal. Excel File: data14-41.xlsx ANOVA Significance F df SS MS Regression Residual 1575.76 349.14 Total 1924.90 Coefficients Standard Error P-value t Stat Intercept 6.1092 0.9361 0.149 Usage 0.8951 If your answer is zero, enter "0". a. Write the estimated regression equation (to 4 decimals). b. Use a t test to determine whether monthly maintenance expense is related to usage at the .05 level of significance (to 2 decimals, if necessary). Use Table 1 of Appendix B. p-value =

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Following is a portion of the regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a
particular brand of computer terminal.
Excel File: data14-41.xlsx
ANOVA
Significance F
df
SS
MS
Regression
Residual
1575.76
349.14
Total
1924.90
Coefficients Standard Error
P-value
t Stat
Intercept
6.1092
0.9361
0.149
Usage
0.8951
If your answer is zero, enter "0".
a. Write the estimated regression equation (to 4 decimals).
b. Use a t test to determine whether monthly maintenance expense is related to usage at the .05 level of significance (to 2 decimals, if necessary).
Use Table 1 of Appendix B.
p-value =
Transcribed Image Text:Following is a portion of the regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal. Excel File: data14-41.xlsx ANOVA Significance F df SS MS Regression Residual 1575.76 349.14 Total 1924.90 Coefficients Standard Error P-value t Stat Intercept 6.1092 0.9361 0.149 Usage 0.8951 If your answer is zero, enter "0". a. Write the estimated regression equation (to 4 decimals). b. Use a t test to determine whether monthly maintenance expense is related to usage at the .05 level of significance (to 2 decimals, if necessary). Use Table 1 of Appendix B. p-value =
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